Module 09

09 – Testing, AI Assurance, Security and Risk

Develops the knowledge and practical skills required to test, evaluate and assure AI and automation solutions for reliability, security, accessibility and responsible operation. Learners explore testing methodologies, risk assessments, cyber security threats, algorithmic bias, model drift and human oversight. The module examines AI governance, assurance frameworks, auditability, documentation, transparency and accountability. Through practical testing and risk-management activities, learners identify vulnerabilities, evaluate solution performance, recommend improvements and produce evidence demonstrating compliance with organisational, legal and ethical requirements.